mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double Class Reference

Test Fixture - layer of input size 2x2x2 and with filter bank of 2 filters of size 1x1 with stride 1, double. Math example taken from my own calculations;) More...

#include <Convolution_tests.hpp>

Inheritance diagram for mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double:

Collaboration diagram for mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double:

Public Member Functions
	Conv2x2x2Filter2x1x1s1Double ()

Protected Member Functions
virtual void	SetUp ()

Private Attributes
mic::mlnn::convolution::Convolution < double >	layer
	Object to be tested. More...
mic::neural_nets::loss::SquaredErrorLoss < double >	loss
mic::types::MatrixPtr< double >	x
	Test x - used in forward pass. More...
mic::types::MatrixPtr< double >	desired_y
	Desired output for a given x. More...
mic::types::MatrixPtr< double >	dy
	Gradient passed to backpropagation. More...
mic::types::MatrixPtr< double >	target_y
	Target y values. More...
mic::types::MatrixPtr< double >	desired_dx
	Desired gradient dx from backpropagation. More...
mic::types::MatrixPtr< double >	desired_dW
	Desired gradient dW from backpropagation. More...
mic::types::MatrixPtr< double >	desired_db
	Desired gradient db from backpropagation. More...

Detailed Description

Test Fixture - layer of input size 2x2x2 and with filter bank of 2 filters of size 1x1 with stride 1, double. Math example taken from my own calculations;)

Author

tkornuta

Definition at line 44 of file Convolution_tests.hpp.

Constructor & Destructor Documentation

mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double::Conv2x2x2Filter2x1x1s1Double ( )

inline

Definition at line 47 of file Convolution_tests.hpp.

References desired_db, desired_dW, desired_dx, desired_y, dy, target_y, and x.

Member Function Documentation

virtual void mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double::SetUp ( )

inlineprotectedvirtual

Definition at line 66 of file Convolution_tests.hpp.

References layer, and mic::mlnn::Layer< eT >::p.

Member Data Documentation

mic::types::MatrixPtr<double> mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double::desired_db

private

Desired gradient db from backpropagation.

Definition at line 113 of file Convolution_tests.hpp.

Referenced by Conv2x2x2Filter2x1x1s1Double().

mic::types::MatrixPtr<double> mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double::desired_dW

private

Desired gradient dW from backpropagation.

Definition at line 110 of file Convolution_tests.hpp.

Referenced by Conv2x2x2Filter2x1x1s1Double().

mic::types::MatrixPtr<double> mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double::desired_dx

private

Desired gradient dx from backpropagation.

Definition at line 107 of file Convolution_tests.hpp.

Referenced by Conv2x2x2Filter2x1x1s1Double().

mic::types::MatrixPtr<double> mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double::desired_y

private

Desired output for a given x.

Definition at line 98 of file Convolution_tests.hpp.

Referenced by Conv2x2x2Filter2x1x1s1Double().

mic::types::MatrixPtr<double> mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double::dy

private

Gradient passed to backpropagation.

Definition at line 101 of file Convolution_tests.hpp.

Referenced by Conv2x2x2Filter2x1x1s1Double().

mic::mlnn::convolution::Convolution<double> mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double::layer

private

Object to be tested.

Definition at line 89 of file Convolution_tests.hpp.

Referenced by SetUp().

mic::neural_nets::loss::SquaredErrorLoss<double> mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double::loss

private

Definition at line 92 of file Convolution_tests.hpp.

mic::types::MatrixPtr<double> mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double::target_y

private

Target y values.

Definition at line 104 of file Convolution_tests.hpp.

Referenced by Conv2x2x2Filter2x1x1s1Double().

mic::types::MatrixPtr<double> mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double::x

private

Test x - used in forward pass.

Definition at line 95 of file Convolution_tests.hpp.

Referenced by Conv2x2x2Filter2x1x1s1Double().

---

The documentation for this class was generated from the following file:

• src/mlnn/convolution/Convolution_tests.hpp